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20172026
most citedFastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

113 citations · 183 across the 32 of their papers we have counts for

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Showing 2022 · cs.CRShow all

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cs.CR2022

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting

Runhua Xu, Nathalie Baracaldo, Yi Zhou +3

Federated learning has emerged as a privacy-preserving machine learning approach where multiple parties can train a single model without sharing their raw training data. Federated…